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_histogram.py
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2419 lines (2153 loc) · 85.4 KB
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# --- THIS FILE IS AUTO-GENERATED ---
# Modifications will be overwitten the next time code generation run.
from plotly.basedatatypes import BaseTraceType as _BaseTraceType
import copy as _copy
class Histogram(_BaseTraceType):
_parent_path_str = ""
_path_str = "histogram"
_valid_props = {
"alignmentgroup",
"autobinx",
"autobiny",
"bingroup",
"cliponaxis",
"constraintext",
"cumulative",
"customdata",
"customdatasrc",
"error_x",
"error_y",
"histfunc",
"histnorm",
"hoverinfo",
"hoverinfosrc",
"hoverlabel",
"hovertemplate",
"hovertemplatesrc",
"hovertext",
"hovertextsrc",
"ids",
"idssrc",
"insidetextanchor",
"insidetextfont",
"legend",
"legendgroup",
"legendgrouptitle",
"legendrank",
"legendwidth",
"marker",
"meta",
"metasrc",
"name",
"nbinsx",
"nbinsy",
"offsetgroup",
"opacity",
"orientation",
"outsidetextfont",
"selected",
"selectedpoints",
"showlegend",
"stream",
"text",
"textangle",
"textfont",
"textposition",
"textsrc",
"texttemplate",
"type",
"uid",
"uirevision",
"unselected",
"visible",
"x",
"xaxis",
"xbins",
"xcalendar",
"xhoverformat",
"xsrc",
"y",
"yaxis",
"ybins",
"ycalendar",
"yhoverformat",
"ysrc",
"zorder",
}
@property
def alignmentgroup(self):
"""
Set several traces linked to the same position axis or matching
axes to the same alignmentgroup. This controls whether bars
compute their positional range dependently or independently.
The 'alignmentgroup' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["alignmentgroup"]
@alignmentgroup.setter
def alignmentgroup(self, val):
self["alignmentgroup"] = val
@property
def autobinx(self):
"""
Obsolete: since v1.42 each bin attribute is auto-determined
separately and `autobinx` is not needed. However, we accept
`autobinx: true` or `false` and will update `xbins` accordingly
before deleting `autobinx` from the trace.
The 'autobinx' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["autobinx"]
@autobinx.setter
def autobinx(self, val):
self["autobinx"] = val
@property
def autobiny(self):
"""
Obsolete: since v1.42 each bin attribute is auto-determined
separately and `autobiny` is not needed. However, we accept
`autobiny: true` or `false` and will update `ybins` accordingly
before deleting `autobiny` from the trace.
The 'autobiny' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["autobiny"]
@autobiny.setter
def autobiny(self, val):
self["autobiny"] = val
@property
def bingroup(self):
"""
Set a group of histogram traces which will have compatible bin
settings. Note that traces on the same subplot and with the
same "orientation" under `barmode` "stack", "relative" and
"group" are forced into the same bingroup, Using `bingroup`,
traces under `barmode` "overlay" and on different axes (of the
same axis type) can have compatible bin settings. Note that
histogram and histogram2d* trace can share the same `bingroup`
The 'bingroup' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["bingroup"]
@bingroup.setter
def bingroup(self, val):
self["bingroup"] = val
@property
def cliponaxis(self):
"""
Determines whether the text nodes are clipped about the subplot
axes. To show the text nodes above axis lines and tick labels,
make sure to set `xaxis.layer` and `yaxis.layer` to *below
traces*.
The 'cliponaxis' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["cliponaxis"]
@cliponaxis.setter
def cliponaxis(self, val):
self["cliponaxis"] = val
@property
def constraintext(self):
"""
Constrain the size of text inside or outside a bar to be no
larger than the bar itself.
The 'constraintext' property is an enumeration that may be specified as:
- One of the following enumeration values:
['inside', 'outside', 'both', 'none']
Returns
-------
Any
"""
return self["constraintext"]
@constraintext.setter
def constraintext(self, val):
self["constraintext"] = val
@property
def cumulative(self):
"""
The 'cumulative' property is an instance of Cumulative
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram.Cumulative`
- A dict of string/value properties that will be passed
to the Cumulative constructor
Returns
-------
plotly.graph_objs.histogram.Cumulative
"""
return self["cumulative"]
@cumulative.setter
def cumulative(self, val):
self["cumulative"] = val
@property
def customdata(self):
"""
Assigns extra data each datum. This may be useful when
listening to hover, click and selection events. Note that,
"scatter" traces also appends customdata items in the markers
DOM elements
The 'customdata' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["customdata"]
@customdata.setter
def customdata(self, val):
self["customdata"] = val
@property
def customdatasrc(self):
"""
Sets the source reference on Chart Studio Cloud for
`customdata`.
The 'customdatasrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["customdatasrc"]
@customdatasrc.setter
def customdatasrc(self, val):
self["customdatasrc"] = val
@property
def error_x(self):
"""
The 'error_x' property is an instance of ErrorX
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram.ErrorX`
- A dict of string/value properties that will be passed
to the ErrorX constructor
Returns
-------
plotly.graph_objs.histogram.ErrorX
"""
return self["error_x"]
@error_x.setter
def error_x(self, val):
self["error_x"] = val
@property
def error_y(self):
"""
The 'error_y' property is an instance of ErrorY
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram.ErrorY`
- A dict of string/value properties that will be passed
to the ErrorY constructor
Returns
-------
plotly.graph_objs.histogram.ErrorY
"""
return self["error_y"]
@error_y.setter
def error_y(self, val):
self["error_y"] = val
@property
def histfunc(self):
"""
Specifies the binning function used for this histogram trace.
If "count", the histogram values are computed by counting the
number of values lying inside each bin. If "sum", "avg", "min",
"max", the histogram values are computed using the sum, the
average, the minimum or the maximum of the values lying inside
each bin respectively.
The 'histfunc' property is an enumeration that may be specified as:
- One of the following enumeration values:
['count', 'sum', 'avg', 'min', 'max']
Returns
-------
Any
"""
return self["histfunc"]
@histfunc.setter
def histfunc(self, val):
self["histfunc"] = val
@property
def histnorm(self):
"""
Specifies the type of normalization used for this histogram
trace. If "", the span of each bar corresponds to the number of
occurrences (i.e. the number of data points lying inside the
bins). If "percent" / "probability", the span of each bar
corresponds to the percentage / fraction of occurrences with
respect to the total number of sample points (here, the sum of
all bin HEIGHTS equals 100% / 1). If "density", the span of
each bar corresponds to the number of occurrences in a bin
divided by the size of the bin interval (here, the sum of all
bin AREAS equals the total number of sample points). If
*probability density*, the area of each bar corresponds to the
probability that an event will fall into the corresponding bin
(here, the sum of all bin AREAS equals 1).
The 'histnorm' property is an enumeration that may be specified as:
- One of the following enumeration values:
['', 'percent', 'probability', 'density', 'probability
density']
Returns
-------
Any
"""
return self["histnorm"]
@histnorm.setter
def histnorm(self, val):
self["histnorm"] = val
@property
def hoverinfo(self):
"""
Determines which trace information appear on hover. If `none`
or `skip` are set, no information is displayed upon hovering.
But, if `none` is set, click and hover events are still fired.
The 'hoverinfo' property is a flaglist and may be specified
as a string containing:
- Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
(e.g. 'x+y')
OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
- A list or array of the above
Returns
-------
Any|numpy.ndarray
"""
return self["hoverinfo"]
@hoverinfo.setter
def hoverinfo(self, val):
self["hoverinfo"] = val
@property
def hoverinfosrc(self):
"""
Sets the source reference on Chart Studio Cloud for
`hoverinfo`.
The 'hoverinfosrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["hoverinfosrc"]
@hoverinfosrc.setter
def hoverinfosrc(self, val):
self["hoverinfosrc"] = val
@property
def hoverlabel(self):
"""
The 'hoverlabel' property is an instance of Hoverlabel
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram.Hoverlabel`
- A dict of string/value properties that will be passed
to the Hoverlabel constructor
Returns
-------
plotly.graph_objs.histogram.Hoverlabel
"""
return self["hoverlabel"]
@hoverlabel.setter
def hoverlabel(self, val):
self["hoverlabel"] = val
@property
def hovertemplate(self):
"""
Template string used for rendering the information that appear
on hover box. Note that this will override `hoverinfo`.
Variables are inserted using %{variable}, for example "y: %{y}"
as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When
showing info for several points, "xother" will be added to
those with different x positions from the first point. An
underscore before or after "(x|y)other" will add a space on
that side, only when this field is shown. Numbers are formatted
using d3-format's syntax %{variable:d3-format}, for example
"Price: %{y:$.2f}".
https://github.com/d3/d3-format/tree/v1.4.5#d3-format for
details on the formatting syntax. Dates are formatted using
d3-time-format's syntax %{variable|d3-time-format}, for example
"Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-
format/tree/v2.2.3#locale_format for details on the date
formatting syntax. The variables available in `hovertemplate`
are the ones emitted as event data described at this link
https://plotly.com/javascript/plotlyjs-events/#event-data.
Additionally, every attributes that can be specified per-point
(the ones that are `arrayOk: true`) are available. Finally, the
template string has access to variable `binNumber` Anything
contained in tag `<extra>` is displayed in the secondary box,
for example "<extra>{fullData.name}</extra>". To hide the
secondary box completely, use an empty tag `<extra></extra>`.
The 'hovertemplate' property is a string and must be specified as:
- A string
- A number that will be converted to a string
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
str|numpy.ndarray
"""
return self["hovertemplate"]
@hovertemplate.setter
def hovertemplate(self, val):
self["hovertemplate"] = val
@property
def hovertemplatesrc(self):
"""
Sets the source reference on Chart Studio Cloud for
`hovertemplate`.
The 'hovertemplatesrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["hovertemplatesrc"]
@hovertemplatesrc.setter
def hovertemplatesrc(self, val):
self["hovertemplatesrc"] = val
@property
def hovertext(self):
"""
Same as `text`.
The 'hovertext' property is a string and must be specified as:
- A string
- A number that will be converted to a string
- A tuple, list, or one-dimensional numpy array of the above
Returns
-------
str|numpy.ndarray
"""
return self["hovertext"]
@hovertext.setter
def hovertext(self, val):
self["hovertext"] = val
@property
def hovertextsrc(self):
"""
Sets the source reference on Chart Studio Cloud for
`hovertext`.
The 'hovertextsrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["hovertextsrc"]
@hovertextsrc.setter
def hovertextsrc(self, val):
self["hovertextsrc"] = val
@property
def ids(self):
"""
Assigns id labels to each datum. These ids for object constancy
of data points during animation. Should be an array of strings,
not numbers or any other type.
The 'ids' property is an array that may be specified as a tuple,
list, numpy array, or pandas Series
Returns
-------
numpy.ndarray
"""
return self["ids"]
@ids.setter
def ids(self, val):
self["ids"] = val
@property
def idssrc(self):
"""
Sets the source reference on Chart Studio Cloud for `ids`.
The 'idssrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["idssrc"]
@idssrc.setter
def idssrc(self, val):
self["idssrc"] = val
@property
def insidetextanchor(self):
"""
Determines if texts are kept at center or start/end points in
`textposition` "inside" mode.
The 'insidetextanchor' property is an enumeration that may be specified as:
- One of the following enumeration values:
['end', 'middle', 'start']
Returns
-------
Any
"""
return self["insidetextanchor"]
@insidetextanchor.setter
def insidetextanchor(self, val):
self["insidetextanchor"] = val
@property
def insidetextfont(self):
"""
Sets the font used for `text` lying inside the bar.
The 'insidetextfont' property is an instance of Insidetextfont
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram.Insidetextfont`
- A dict of string/value properties that will be passed
to the Insidetextfont constructor
Returns
-------
plotly.graph_objs.histogram.Insidetextfont
"""
return self["insidetextfont"]
@insidetextfont.setter
def insidetextfont(self, val):
self["insidetextfont"] = val
@property
def legend(self):
"""
Sets the reference to a legend to show this trace in.
References to these legends are "legend", "legend2", "legend3",
etc. Settings for these legends are set in the layout, under
`layout.legend`, `layout.legend2`, etc.
The 'legend' property is an identifier of a particular
subplot, of type 'legend', that may be specified as the string 'legend'
optionally followed by an integer >= 1
(e.g. 'legend', 'legend1', 'legend2', 'legend3', etc.)
Returns
-------
str
"""
return self["legend"]
@legend.setter
def legend(self, val):
self["legend"] = val
@property
def legendgroup(self):
"""
Sets the legend group for this trace. Traces and shapes part of
the same legend group hide/show at the same time when toggling
legend items.
The 'legendgroup' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["legendgroup"]
@legendgroup.setter
def legendgroup(self, val):
self["legendgroup"] = val
@property
def legendgrouptitle(self):
"""
The 'legendgrouptitle' property is an instance of Legendgrouptitle
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram.Legendgrouptitle`
- A dict of string/value properties that will be passed
to the Legendgrouptitle constructor
Returns
-------
plotly.graph_objs.histogram.Legendgrouptitle
"""
return self["legendgrouptitle"]
@legendgrouptitle.setter
def legendgrouptitle(self, val):
self["legendgrouptitle"] = val
@property
def legendrank(self):
"""
Sets the legend rank for this trace. Items and groups with
smaller ranks are presented on top/left side while with
"reversed" `legend.traceorder` they are on bottom/right side.
The default legendrank is 1000, so that you can use ranks less
than 1000 to place certain items before all unranked items, and
ranks greater than 1000 to go after all unranked items. When
having unranked or equal rank items shapes would be displayed
after traces i.e. according to their order in data and layout.
The 'legendrank' property is a number and may be specified as:
- An int or float
Returns
-------
int|float
"""
return self["legendrank"]
@legendrank.setter
def legendrank(self, val):
self["legendrank"] = val
@property
def legendwidth(self):
"""
Sets the width (in px or fraction) of the legend for this
trace.
The 'legendwidth' property is a number and may be specified as:
- An int or float in the interval [0, inf]
Returns
-------
int|float
"""
return self["legendwidth"]
@legendwidth.setter
def legendwidth(self, val):
self["legendwidth"] = val
@property
def marker(self):
"""
The 'marker' property is an instance of Marker
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram.Marker`
- A dict of string/value properties that will be passed
to the Marker constructor
Returns
-------
plotly.graph_objs.histogram.Marker
"""
return self["marker"]
@marker.setter
def marker(self, val):
self["marker"] = val
@property
def meta(self):
"""
Assigns extra meta information associated with this trace that
can be used in various text attributes. Attributes such as
trace `name`, graph, axis and colorbar `title.text`, annotation
`text` `rangeselector`, `updatemenues` and `sliders` `label`
text all support `meta`. To access the trace `meta` values in
an attribute in the same trace, simply use `%{meta[i]}` where
`i` is the index or key of the `meta` item in question. To
access trace `meta` in layout attributes, use
`%{data[n[.meta[i]}` where `i` is the index or key of the
`meta` and `n` is the trace index.
The 'meta' property accepts values of any type
Returns
-------
Any|numpy.ndarray
"""
return self["meta"]
@meta.setter
def meta(self, val):
self["meta"] = val
@property
def metasrc(self):
"""
Sets the source reference on Chart Studio Cloud for `meta`.
The 'metasrc' property must be specified as a string or
as a plotly.grid_objs.Column object
Returns
-------
str
"""
return self["metasrc"]
@metasrc.setter
def metasrc(self, val):
self["metasrc"] = val
@property
def name(self):
"""
Sets the trace name. The trace name appears as the legend item
and on hover.
The 'name' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["name"]
@name.setter
def name(self, val):
self["name"] = val
@property
def nbinsx(self):
"""
Specifies the maximum number of desired bins. This value will
be used in an algorithm that will decide the optimal bin size
such that the histogram best visualizes the distribution of the
data. Ignored if `xbins.size` is provided.
The 'nbinsx' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [0, 9223372036854775807]
Returns
-------
int
"""
return self["nbinsx"]
@nbinsx.setter
def nbinsx(self, val):
self["nbinsx"] = val
@property
def nbinsy(self):
"""
Specifies the maximum number of desired bins. This value will
be used in an algorithm that will decide the optimal bin size
such that the histogram best visualizes the distribution of the
data. Ignored if `ybins.size` is provided.
The 'nbinsy' property is a integer and may be specified as:
- An int (or float that will be cast to an int)
in the interval [0, 9223372036854775807]
Returns
-------
int
"""
return self["nbinsy"]
@nbinsy.setter
def nbinsy(self, val):
self["nbinsy"] = val
@property
def offsetgroup(self):
"""
Set several traces linked to the same position axis or matching
axes to the same offsetgroup where bars of the same position
coordinate will line up.
The 'offsetgroup' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Returns
-------
str
"""
return self["offsetgroup"]
@offsetgroup.setter
def offsetgroup(self, val):
self["offsetgroup"] = val
@property
def opacity(self):
"""
Sets the opacity of the trace.
The 'opacity' property is a number and may be specified as:
- An int or float in the interval [0, 1]
Returns
-------
int|float
"""
return self["opacity"]
@opacity.setter
def opacity(self, val):
self["opacity"] = val
@property
def orientation(self):
"""
Sets the orientation of the bars. With "v" ("h"), the value of
the each bar spans along the vertical (horizontal).
The 'orientation' property is an enumeration that may be specified as:
- One of the following enumeration values:
['v', 'h']
Returns
-------
Any
"""
return self["orientation"]
@orientation.setter
def orientation(self, val):
self["orientation"] = val
@property
def outsidetextfont(self):
"""
Sets the font used for `text` lying outside the bar.
The 'outsidetextfont' property is an instance of Outsidetextfont
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram.Outsidetextfont`
- A dict of string/value properties that will be passed
to the Outsidetextfont constructor
Returns
-------
plotly.graph_objs.histogram.Outsidetextfont
"""
return self["outsidetextfont"]
@outsidetextfont.setter
def outsidetextfont(self, val):
self["outsidetextfont"] = val
@property
def selected(self):
"""
The 'selected' property is an instance of Selected
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram.Selected`
- A dict of string/value properties that will be passed
to the Selected constructor
Returns
-------
plotly.graph_objs.histogram.Selected
"""
return self["selected"]
@selected.setter
def selected(self, val):
self["selected"] = val
@property
def selectedpoints(self):
"""
Array containing integer indices of selected points. Has an
effect only for traces that support selections. Note that an
empty array means an empty selection where the `unselected` are
turned on for all points, whereas, any other non-array values
means no selection all where the `selected` and `unselected`
styles have no effect.
The 'selectedpoints' property accepts values of any type
Returns
-------
Any
"""
return self["selectedpoints"]
@selectedpoints.setter
def selectedpoints(self, val):
self["selectedpoints"] = val
@property
def showlegend(self):
"""
Determines whether or not an item corresponding to this trace
is shown in the legend.
The 'showlegend' property must be specified as a bool
(either True, or False)
Returns
-------
bool
"""
return self["showlegend"]
@showlegend.setter
def showlegend(self, val):
self["showlegend"] = val
@property
def stream(self):
"""
The 'stream' property is an instance of Stream
that may be specified as:
- An instance of :class:`plotly.graph_objs.histogram.Stream`
- A dict of string/value properties that will be passed
to the Stream constructor
Returns
-------
plotly.graph_objs.histogram.Stream
"""
return self["stream"]
@stream.setter
def stream(self, val):
self["stream"] = val
@property
def text(self):
"""